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Reviving Data Potential─The Reanalysis-Driven Metabolomics Data Repository MB-POST
Yushi Takahashi1, Akiyasu C Yoshizawa1, Takato Kiuchi1
1Medical AI Center, Niigata University School of Medicine, 2-5274, Gakkocho-dori, Chuo-ku, Niigata951-8514, Japan.
Abstract:
Metabolomics investigates an extraordinarily broad chemical space and generates experimental data with substantial potential for reuse in chemistry, biology, and related fields. We developed MB-POST (https://repository.massbank.jp), a new metabolomics mass spectrometry data repository based on a concept distinct from that of existing platforms, to fully realize this potential. MB-POST implements a reanalysis-oriented metadata framework that captures the information essential for data reuse while providing a streamlined submission system that enables the rapid deposition of standardized metabolomics metadata together with experimental data. Since its public pilot release in December 2024, MB-POST has attracted strong community adoption, with more than 170 experimental projects deposited within its first year and a half. Thus, MB-POST provides a practical foundation for the large-scale reuse of metabolomics mass spectrometry data and represents a concrete step toward accelerating open and data-driven scientific research.

